kyopark2014/llama3.2-rag-bot
Multimodal RAG based on Llama 3.2
This project helps you build a custom chatbot that can answer questions using your own specific documents and maintain a conversation history. You input your documents and ask questions, and the chatbot provides answers by drawing information only from those documents. This is ideal for businesses, educators, or information managers who need a reliable way for users to query specific knowledge bases.
No commits in the last 6 months.
Use this if you need to deploy a chatbot that provides accurate answers based on your private data, rather than general internet knowledge, and can remember past interactions.
Not ideal if you're looking for an off-the-shelf, general-purpose chatbot without a specific knowledge base, or if you don't have existing documents to ground the answers.
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31
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10
Language
Python
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Category
Last pushed
Nov 04, 2024
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